With over 225 million users in 196 countries, Change.org is the world’s largest technology platform for social change. We’re a social impact business, and we’re aiming to build a world where no one is powerless and where creating change is a part of everyday life.

About The Role:We’re seeking an experienced Data Scientist, focused on funnel optimization, who will own the vision and execution of projects from start to finish.

The ideal candidate is passionate about having an enormous impact on a company that is quite literally helping to change the world. Change.org uses data science to increase the reach and effectiveness of our social justice platform via sophisticated recommendation algorithms.

This individual will be flexible and interested in learning new skills, tools, and technologies as necessary. Given our small team size and the scope of our global mission, we must select the right tools as necessary. At any given point in time, you may find team members working with one or more of the following: Redshift, Cassandra, AWS (Elastic MapReduce, SimpleWorkflow, EC2, etc), Spark and Redis driven by Ruby, Python, Java, and Javascript.

Here’s what you’ll do as part of our team:

You will help set technical/product direction of our data science team.

Use machine learning techniques to present relevant content to our diverse user base in order to increase engagement and raise the impact of our social justice platform.

Take the lead on data science research projects and pursue them through production.

Apply statistics, modeling, and ML to improve the performance of financial models and recommendation algorithms, as well as other areas where you see fit. .

Work with product managers and engineers to design and debug A/B experiments.

Own the architecture, delivery, and evolution of interrelated big data systems.

Masters in Computer Science, Applied Math, Physics, Statistics or a quantitative field with a strong engineering background.

Experience with Python and SQL is required.

A combined 6+ years of industry experience in the data science arena dealing with large volume and variety of datasets.

4+ years professional experience with modeling and analysis, statistics, machine learning, and/or large-scale data mining. Has deep experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation by using AB testing in production